
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "156"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 77 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 73 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.729864	3.978491	0.025889	14.463434	-0.170493	36.573569	0.978047	10.375535	0.7418	0.7117	0.2517	17.755186	17.603699
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.203733	29.814372	0.243353	4.135253	1.618876	18.643933	3.094070	14.354683	0.6988	0.6334	0.2685	5.288940	4.878007
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.171459	-1.165766	-0.426961	-0.760519	0.636239	0.709938	1.561719	0.000324	0.0333	0.0352	0.0008	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.124948	23.206180	0.065189	3.118042	0.989820	17.402059	0.387719	20.421603	0.6318	0.6020	0.3688	6.617428	5.437969
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.025125	17.374301	-0.105099	1.983128	1.059047	16.581034	2.208865	33.501042	0.6378	0.6166	0.3654	8.253847	6.400151
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.090553	23.525964	-0.153735	8.193130	0.991335	30.981997	1.095947	11.184987	0.6636	0.6232	0.3042	10.869917	8.713264
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.296904	20.518597	0.492118	5.195084	1.272159	24.673282	2.014888	11.735885	0.7430	0.6853	0.2351	13.716754	11.112428
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	0.525965	22.580558	0.547146	4.553972	0.724211	3.085561	1.531218	38.802235	nan	nan	nan	8.566157	8.623194
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	311.103174	312.175427	inf	inf	10.485160	13.523848	211.822764	656.723883	nan	nan	nan	0.000000	0.000000
2459585	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.951030	-0.371429	0.690828	-0.585339	0.333838	-0.267028	2.451341	0.241640	0.0344	0.0361	0.0015	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.432012	1.665066	1.505832	0.262455	0.176205	0.744432	1.876177	0.862606	0.5787	0.5929	0.3623	7.819926	9.995904
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.503799	1.727801	1.203901	-0.343842	0.245070	3.144520	2.935734	8.885068	0.6334	0.6462	0.3877	4.283817	4.172692
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.275561	3.196257	0.913421	-0.319277	0.047066	5.997872	0.741244	3.351359	0.6345	0.6414	0.3884	5.302613	4.752863
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.777288	1.294257	1.433565	-0.038513	0.416820	1.872611	1.391315	1.795101	0.6376	0.6495	0.3897	2.933623	2.814075
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.526323	0.049083	0.948919	0.013270	-0.092900	1.066719	2.260824	1.117131	0.6397	0.6534	0.3835	4.571953	4.208570
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-1.088936	-0.330053	-0.442582	-0.061076	-0.886504	0.275462	1.145814	-0.437729	0.0343	0.0300	0.0009	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.293883	12.276787	1.238572	-0.242776	1.166318	14.118993	6.351960	5.454030	0.6370	0.6327	0.3786	4.119144	3.870131
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.320852	33.005106	1.005507	1.093909	0.866290	8.137413	1.071081	14.296500	0.6626	0.5995	0.3727	7.057297	6.080729
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.519342	19.714789	0.846035	0.802407	0.684763	25.723883	1.590433	2.320902	0.7155	0.6760	0.3410	10.286433	9.317373
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.109840	33.940344	0.807578	0.962959	0.909950	10.805379	1.732887	4.682407	0.6557	0.5910	0.3698	9.473857	7.625054
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.047219	0.033348	1.699338	-0.186383	0.410326	0.387109	1.540131	0.581967	0.6476	0.6670	0.3920	5.700606	5.328201
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.029994	-0.077527	0.801567	-0.557368	0.437209	-0.321735	1.172745	1.232216	0.6614	0.6772	0.3842	5.096992	4.563649
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.908999	-0.470066	-0.670333	-0.456059	-0.595996	44.420901	-0.177227	0.293587	0.0342	0.0287	0.0010	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.501669	-0.087368	0.926896	-0.591142	1.830692	12.201421	1.555490	0.795932	0.7225	0.7399	0.2613	5.172990	5.099403
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.447339	0.250618	1.252173	-0.188970	0.355946	-0.248803	2.426163	-0.478450	0.6435	0.6731	0.4110	4.405444	3.646639
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	1.033212	1.033212	1.033557	1.033557	0.000000	0.000000	0.000000	0.000000	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.398136	19.093038	-0.473214	-0.898219	2.291071	1.699529	1.262984	21.252477	0.6592	0.6180	0.3943	4.437419	3.591320
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.089461	4.408065	23.757385	17.681237	-0.375367	11.851656	2.331223	22.952601	0.6466	0.6514	0.3903	3.524617	3.397211
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.335410	1.266098	-0.171263	0.374255	-1.477537	0.970467	-1.110535	10.244585	0.6457	0.6295	0.3950	2.886813	2.676528
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	2.917153	3.695701	1.952772	2.267502	0.711268	0.987208	-2.331430	-1.805228	0.6370	0.6520	0.3821	3.070871	2.830160
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.095626	0.753122	-0.952717	0.009219	-1.497033	-0.710149	-0.868087	-0.952654	0.6484	0.6660	0.4016	3.221078	3.134365
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.436738	1.241336	0.766307	-0.975234	0.354892	0.869291	0.861294	3.419046	0.6568	0.6661	0.3893	3.299558	2.933248
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0308	0.0287	0.0012	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.338545	-0.559181	0.932487	1.483634	0.876506	4.333264	1.176113	8.059001	0.6571	0.6714	0.3928	4.014322	3.720196
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6647	0.5965	0.3852	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6492	0.5970	0.3843	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.781516	24.714117	1.285250	1.135937	1.895009	23.034284	1.736793	12.683466	0.6673	0.6268	0.3902	7.797821	5.883822
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.457258	8.068959	0.765558	-0.649390	1.181904	4.577663	1.741201	18.213462	0.6590	0.6446	0.3896	3.566248	3.158977
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0490	0.0482	0.0005	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.442518	-1.044502	1.017404	-0.267046	1.738806	8.810136	4.462176	10.715778	0.6441	0.6629	0.4203	3.302890	3.225263
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.046890	0.534716	-0.355264	0.331321	0.752674	-0.181047	5.191047	1.464942	0.7120	0.7219	0.3716	3.621250	3.195137
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.263542	-0.267737	0.448352	-0.595440	0.063965	-0.279213	1.417728	2.624626	0.7183	0.7235	0.3555	3.789023	3.523992
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.045832	-0.338820	0.508047	-0.575308	0.486341	-0.548109	2.137100	0.730260	0.7589	0.7510	0.3733	4.175030	3.656265
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.365299	0.249175	0.608758	-0.504585	1.092097	-0.043195	2.195996	0.587641	0.7497	0.7439	0.3653	8.546837	6.974006
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.557569	0.195358	0.457858	-0.221838	0.802640	0.371200	1.389660	2.167679	0.6817	0.7019	0.4099	3.900053	3.396673
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.890772	0.241274	0.901980	-0.287913	0.825710	0.373895	0.789306	0.811271	0.6838	0.7020	0.4093	4.575456	3.909782
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.703392	-0.226452	-0.604308	-0.709445	-0.929887	0.232458	0.820102	1.108347	0.0331	0.0313	0.0007	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.593624	5.269055	0.538735	-0.571618	0.220316	9.546836	4.110923	12.666996	0.8994	0.9251	0.2102	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.290458	25.982048	0.401321	0.894386	0.910650	15.442776	3.355967	81.589842	0.0470	0.0839	0.0026	1.677342	1.673321
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.307375	5.570787	1.080237	0.028696	0.915353	8.854431	1.637802	64.278320	0.8657	0.8361	0.4550	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.126056	21.880690	0.277805	0.981326	-0.528843	9.568983	0.490122	34.223217	0.0731	0.1192	0.0093	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.576550	12.332645	0.284136	0.518304	1.012722	9.191894	0.302107	37.015155	0.0810	0.1084	0.0080	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.170752	0.707452	0.759693	-0.531836	1.180910	5.928464	1.030990	50.056185	0.0759	0.0926	0.0064	0.000000	0.000000
2459498	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.298677	-0.593614	0.606035	-0.538655	0.845761	0.051555	-0.466767	0.369056	0.0905	0.0917	0.0144	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.044471	-0.675089	0.315506	-0.176758	0.560712	0.070760	-0.046430	0.021045	0.0933	0.1144	0.0116	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.394613	0.290046	0.791471	-0.854248	1.657555	6.983420	0.612892	56.562220	0.1174	0.1114	0.0156	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.183388	-0.486643	0.713799	-0.434485	1.431021	1.839724	-0.081117	29.184991	0.0979	0.1189	0.0150	0.000000	0.000000
2459494	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.281476	-0.867513	0.808978	-0.902423	1.210914	-0.462168	0.995059	0.460934	0.0683	0.1219	0.0090	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.134876	27.298469	-0.234309	0.666375	1.847100	30.311550	3.988119	42.873206	0.0893	0.1161	0.0187	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.581172	7.204021	-0.139941	0.989878	2.079656	19.496206	3.401898	138.198984	0.1029	0.1177	0.0116	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.212917	34.262589	-0.457892	0.991491	2.143606	27.745933	9.479481	208.964927	0.7175	0.7327	0.3675	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.649005	32.884298	-0.232909	0.883949	1.935112	26.046822	3.179059	171.563020	0.7372	0.7472	0.3186	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.358098	5.211924	-0.014389	0.886509	3.310018	21.417907	13.510444	239.477869	0.7369	0.7831	0.3470	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 156 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 156, Node 12:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 156: 2459597

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶